ABSTRACT

Factors including unbalanced user travel demand, vehicle charging status, and high operating cost of enterprises have restricted the development of electric vehicle car-sharing. This paper comprehensively considers the impact of multiple dynamic constraints such as user demand, state of charge of electric vehicles, and operating profit on vehicle relocation. The travel behavior of consumers is studied through Multinomial Logistic Regression method. User demand for electric vehicle car-sharing is forecast through Hidden Markov Model. A new vehicle relocation strategy combining staff relocation and user relocation is formulated. With the goal of maximizing enterprise profit, an electric vehicle car-sharing optimization relocation model in region level is finally established. Taking Anting Town as an example to verify the model, the results show that this new vehicle relocation strategy can effectively reduce the operating cost of enterprises, improve the circulation rate and utilization rate of vehicles, and reduce unnecessary waste of resources.

摘要

用户出行需求不平衡，车辆充电状态以及企业的高运营成本等因素限制了电动汽车共享汽车的发展。本文综合考虑了多种动态约束的影响，例如用户需求，电动汽车的充电状态以及运营利润对车辆的重新安置。通过多项逻辑回归方法研究了消费者的出行行为。通过隐马尔可夫模型预测用户对电动汽车共享汽车的需求。制定了一种将人员迁移和用户迁移结合起来的新的车辆迁移策略。以企业利益最大化为目标，最终建立了区域层面的电动汽车共享优化重定位模型。以安亭镇为例验证模型，